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DTSTART;TZID=America/Denver:20231112T113800
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UID:submissions.supercomputing.org_SC23_sess414_ws_hust111@linklings.com
SUMMARY:MSR-genie:  Navigating Model Specific Registers across Processor G
 enerations
DESCRIPTION:Kyle Fan, Barry Rountree, Tapasya Patki, Aniruddha Marathe, an
 d Stephanie Brink (Lawrence Livermore National Laboratory (LLNL)); Duncan 
 McFarlane (Portland State University, Lawrence Livermore National Laborato
 ry (LLNL)); and Eric Green and Kathleen Shoga (Lawrence Livermore National
  Laboratory (LLNL))\n\nPerformance tuning of High-Performance Computing (H
 PC) applications depends on sophisticated tuning of parameters on diverse 
 architectures. These parameters are made available by vendors through low-
 level dials such as Model-Specific Registers (MSRs). While the MSRs themse
 lves provide a powerful mechanism for users to monitor and control process
 or features, accessing them is laborious due to lack of standard interface
 s and clear documentation. As a result, the burden of determining which MS
 Rs to consider and how to fine-tune them for an application lies on the en
 d user. \n\nWe present MSR-genie, an efficient and extensible query tool w
 hich reduces this user-level burden and allows them to query bidirectional
 ly across MSR lists as well as a processor families and models, and provid
 ing them with guidance on appropriate bitmasks. The MSR-genie tool is open
 -source and easily extensible, and we demonstrate its effectiveness with o
 ver thirty Intel processor models and over two-thousand unique MSRs.\n\nTa
 g: Programming Frameworks and System Software\n\nRegistration Category: Wo
 rkshop Reg Pass\n\nSession Chairs: Chris Bording (University of Western Au
 stralia); Elsa J. Gonsiorowski (Lawrence Livermore National Laboratory (LL
 NL)); Lev Gorenstein (Globus, University of Chicago); and Karen Tomko (Ohi
 o Supercomputer Center)\n\n
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